Rum Awam M Tanah(Taman Dato Tamby Chik Kar

1437, Jalan Rebana 1, Taman Rebana, 78300 Masjid Tanah, Melaka, Malaysia

Property Transactions

10 subsales grouped by road

Median
RM 120,000
PSF
RM 108
RM 15,000
1,195 sqft
RM 13 PSF
RM 120,000
1,206 sqft
RM 100 PSF
RM 120,000
1,195 sqft
RM 100 PSF
RM 110,000
1,195 sqft
RM 92 PSF
RM 130,000
1,195 sqft
RM 109 PSF
RM 130,000
1,206 sqft
RM 108 PSF
RM 120,000
1,206 sqft
RM 100 PSF
RM 95,000
1,195 sqft
RM 80 PSF
RM 155,000
1,206 sqft
RM 129 PSF
RM 95,000
1,195 sqft
RM 80 PSF
Legend Recent Highest Price Highest PSF

Posts about Rum Awam M Tanah(Taman Dato Tamby Chik Kar

Market Snapshot

Residential

RM 120,000

RM 100 psf

Median transaction price

Rum Awam M Tanah(Taman Dato Tamby Chik Kar
© OpenStreetMap · CARTO

1437, Jalan Rebana 1, Taman Rebana, 78300 Masjid Tanah, Melaka, Malaysia

Maps

Rum Awam M Tanah(Taman Dato Tamby Chik Kar in Alor Gajah, Melaka recorded 10 subsale transactions between 2021 and 2026, with a median price of RM 120K and a median price per square foot (PSF) of RM 108.

This area consists exclusively of residential properties, with no commercial listings recorded.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM 120K, with most transactions falling within a stable range of RM 110K to RM 130K, and a typical market range of RM 106K to RM 134K.

Most transactions involved low-cost house, with minimal variety in property types.

For price per square foot, the median is RM 108, with most transactions between RM 99 and RM 116. The usual range is RM 96.33 to RM 119.33, showing that most units are priced quite close to each other. A typical spread (IQR) of RM 23.00 and an average deviation (MAD) of RM 9 indicate a highly stable PSF trend across properties.

Overall, the market in this area appears stable with consistent appreciation, making it an attractive option for both investors and homebuyers. Moderate price stability provides a balanced market for both buyers and sellers. Limited transaction history suggests carefully evaluating comparable sales data.